An evaluation of the objectivity and reproducibility of shear wave elastography in estimating the post-mortem interval: a tissue biomechanical perspective.
Biomechanics
Forensic science
Post-mortem interval
Rigor mortis
Shear wave elastography
Time since death
Ultrasound
Journal
International journal of legal medicine
ISSN: 1437-1596
Titre abrégé: Int J Legal Med
Pays: Germany
ID NLM: 9101456
Informations de publication
Date de publication:
Sep 2020
Sep 2020
Historique:
received:
13
06
2019
accepted:
08
07
2020
pubmed:
18
7
2020
medline:
10
6
2021
entrez:
18
7
2020
Statut:
ppublish
Résumé
Cadaveric rigidity-also referred to as rigor mortis-is a valuable source of information for estimating the time of death, which is a fundamental and challenging task in forensic sciences. Despite its relevance, assessing the level of cadaveric rigidity still relies on qualitative and often subjective observations, and the development of a more quantitative approach is highly demanded. In this context, ultrasound shear wave elastography (US SWE) appears to be a particularly well-suited technique for grading cadaveric rigidity, as it allows non-invasive quantification of muscle stiffness in terms of Young's modulus (E), which is a widely used parameter in tissue biomechanics. In this pilot study, we measured, for the first time in the literature, changes in the mechanical response of muscular tissues from 0 to 60 h post-mortem (hpm) using SWE, with the aim of investigating its applicability to forensic practice. For this purpose, 26 corpses were included in the study, and the muscle mechanical response was measured at random times in the 0-60 hpm range. Despite the preliminary nature of this study, our data indicate a promising role of SWE in the quantitative determination of cadaveric rigidity, which is still currently based on qualitative and semiquantitative methods. A more in-depth study is required to confirm SWE applicability in this field in order to overcome some of the inherent limitations of the present work, such as the rather low number of cases and the non-systematic approach of the measurements.
Identifiants
pubmed: 32676888
doi: 10.1007/s00414-020-02370-5
pii: 10.1007/s00414-020-02370-5
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1939-1948Références
Madea B (2016) Methods for determining time of death. Forensic Sci Med Pathol 12(4):451–485
pubmed: 27259559
doi: 10.1007/s12024-016-9776-y
Henssge C, Madea B (2004) Estimation of the time since death in the early post-mortem period. Forensic Sci Int 144(2–3):167–175
pubmed: 15364387
doi: 10.1016/j.forsciint.2004.04.051
Rosa MF, Scano P, Noto A, Nioi M, Sanna R, Paribello F, De-Giorgio F, Locci E, d'Aloja E (2015) Monitoring the modifications of the vitreous humor metabolite profile after death: an animal model. Biomed Res Int:627201–627207. https://doi.org/10.1155/2015/627201
Locci E, Scano P, Rosa MF, Nioi M, Noto A, Atzori L, Demontis R, De-Giorgio F, d’Aloja E A metabolomic approach to animal vitreous humor topographical composition: a pilot study. PLoS One 9(5):e97773. https://doi.org/10.1371/journal.pone.0097773 eCollection 2014
Locci E, Stocchero M, Noto A, Chighine A, Natali L, Napoli PE, Caria R, De-Giorgio F, Nioi M, d'Aloja E (2019) A (1)H NMR metabolomic approach for the estimation of the time since death using aqueous humour: an animal model. Metabolomics. 15(5):76. https://doi.org/10.1007/s11306-019-1533-2.6
pubmed: 31069551
doi: 10.1007/s11306-019-1533-2.6
Ferreira PG, Muñoz-Aguirre M, Reverter F, Sá Godinho CP, Sousa A, Amadoz A, Sodaei R, Hidalgo MR, Pervouchine D, Carbonell-Caballero J, Nurtdinov R, Breschi A, Amador R, Oliveira P, Çubuk C, Curado J, Aguet F, Oliveira C, Dopazo J, Sammeth M, Ardlie KG, Guigó R (2018) The effects of death and post-mortem cold ischemia on human tissue transcriptomes. Nat Commun 9(1):490. https://doi.org/10.1038/s41467-017-02772-x
pubmed: 29440659
pmcid: 5811508
doi: 10.1038/s41467-017-02772-x
Zhu Y, Wang L, Yin Y, Yang E (2017) Systematic analysis of gene expression patterns associated with postmortem interval in human tissues. Sci Rep 7(1):5435. https://doi.org/10.1038/s41598-017-05882-0
pubmed: 28710439
pmcid: 5511187
doi: 10.1038/s41598-017-05882-0
Nioi M, Napoli PE, Demontis R, Locci E, Fossarello M, d'Aloja E (2018) Morphological analysis of corneal findings modifications after death: a preliminary OCT study on an animal model. Exp Eye Res 169:20–27. https://doi.org/10.1016/j.exer.2018.01.013
pubmed: 29360448
doi: 10.1016/j.exer.2018.01.013
Pittner S, Ehrenfellner B, Monticelli FC, Zissler A, Sänger AM, Stoiber W, Steinbacher P (2016) Postmortem muscle protein degradation in humans as a tool for PMI delimitation. Int J Legal Med 130(6):1547–1555
pubmed: 26951243
pmcid: 5055573
doi: 10.1007/s00414-016-1349-9
Vain A, Kauppila R, Humal LH, Vuori E (1992) Grading rigor mortis with myotonometry--a new possibility to estimate time of death. Forensic Sci Int 56(2):147–150
pubmed: 1452105
doi: 10.1016/0379-0738(92)90172-S
Vain A, Kauppila R, Vuori E (1996) Estimation of the breaking of rigor mortis by myotonometry. Forensic Sci Int 79(2):155–161
pubmed: 8698294
doi: 10.1016/0379-0738(96)01902-0
Martins PA, Ferreira F, Natal Jorge R, Parente M, Santos A (2015) Necromechanics: death-induced changes in the mechanical properties of human tissues. Proc Inst Mech Eng H 229(5):343–349. https://doi.org/10.1177/0954411915581409
pubmed: 25991713
doi: 10.1177/0954411915581409
De-Giorgio F, Nardini M, Foti F, Minelli E, Papi M, d’Aloja E, Pascali VL, De Spirito M, Ciasca G (2019) A novel method for post-mortem interval estimation based on tissue nano-mechanics. Int J Legal Med 133(4):1133–1139. https://doi.org/10.1007/s00414-019-02034-z
pubmed: 30919038
doi: 10.1007/s00414-019-02034-z
Tian M, Li Y, Liu W, Jin L, Jiang X, Wang X, Ding Z, Peng Y, Zhou J, Fan J, Cao Y, Wang W, Shi Y (2015) The nanomechanical signature of liver cancer tissues and its molecular origin. Nanoscale 7(30):12998–13010. https://doi.org/10.1039/c5nr02192h
pubmed: 26168746
doi: 10.1039/c5nr02192h
Suresh S (2007) Biomechanics and biophysics of cancer cells. Acta Biomater 3(4):413–438
pubmed: 17540628
pmcid: 2917191
doi: 10.1016/j.actbio.2007.04.002
Plodinec M, Loparic M, Monnier CA, Obermann EC, Zanetti-Dallenbach R, Oertle P, Hyotyla JT, Aebi U, Bentires-Alj M, Lim RY, Schoenenberger CA (2012) The nanomechanical signature of breast cancer. Nat Nanotechnol 7(11):757–765. https://doi.org/10.1038/nnano.2012.167
pubmed: 23085644
doi: 10.1038/nnano.2012.167
Minelli E, Sassun TE, Papi M, Palmieri V, Palermo F, Perini G, Antonelli M, Gianno F, Maulucci G, Ciasca G, De Spirito M (2018) Nanoscale mechanics of brain abscess: an atomic force microscopy study. Micron. 113:34–40. https://doi.org/10.1016/j.micron.2018.06.012
pubmed: 29957562
doi: 10.1016/j.micron.2018.06.012
Minelli E, Ciasca G, Sassun TE, Antonelli M, Palmieri V, Papi M, Maulucci G, Santoro A, Giangaspero F, Delfini R, Campi G, De Spirito M (2017) A fully automated neural network analysis of AFM force-distance curves for cancer tissue diagnosis. Appl Ohys Lett. https://doi.org/10.10603/1.4996300
Kuznetsova TG, Starodubtseva MN, Yegorenkov NI, Chizhik SA, Zhdanov RI (2007) Atomic force microscopy probing of cell elasticity. Micron. 38(8):824–833
pubmed: 17709250
doi: 10.1016/j.micron.2007.06.011
Ciasca G, Papi M, Di Claudio S, Chiarpotto M, Palmieri V, Maulucci G, Nocca G, Rossi C, De Spirito M (2015) Mapping viscoelastic properties of healthy and pathological red blood cells at the nanoscale level. Nanoscale. 7(40):17030–17037. https://doi.org/10.1039/c5nr03145a
pubmed: 26415744
doi: 10.1039/c5nr03145a
Ciasca G, Papi M, Minelli E, Palmieri V, De Spirito M (2016) Changes in cellular mechanical properties during onset or progression of colorectal cancer. World J Gastroenterol 22(32):7203–7214. https://doi.org/10.3748/wjg.v22.i32.7203
pubmed: 27621568
pmcid: 4997642
doi: 10.3748/wjg.v22.i32.7203
Perini G, Ciasca G, Minelli E, Papi M, Palmieri V, Maulucci G, Nardini M, Latina V, Corsetti V, Florenzano F, Calissano P, De Spirito M, Amadoro G (2019) Dynamic structural determinants underlie the neurotoxicity of the N-terminal tau 26-44 peptide in Alzheimer’s disease and other human tauopathies. Int J Biol Macromol 141:278–289. https://doi.org/10.1016/j.ijbiomac.2019.08.220
pubmed: 31470053
doi: 10.1016/j.ijbiomac.2019.08.220
Ciasca G, Pagliei V, Minelli E, Palermo F, Nardini M, Pastore V, Papi M, Caporossi A, De Spirito M, Minnella AM (2019) Nanomechanical mapping helps explain differences in outcomes of eye microsurgery: a comparative study of macular pathologies. PLoS One 14(8):e0220571. https://doi.org/10.1371/journal.pone.0220571
pubmed: 31390353
pmcid: 6685617
doi: 10.1371/journal.pone.0220571
Ciasca G, Sassun TE, Minelli E, Antonelli M, Papi M, Santoro A, Giangaspero F, Delfini R, De Spirito M (2016) Nano-mechanical signature of brain tumours. Nanoscale. 8(47):19629–19643
pubmed: 27853793
doi: 10.1039/C6NR06840E
Ciasca G, Mazzini A, Sassun TE, Nardini M, Minelli E, Papi M, Palmieri V, de Spirito M (2019) Efficient spatial sampling for AFM-based cancer diagnostics: a comparison between neural networks and conventional data analysis. Condens Matter 4. https://doi.org/10.3390/condmat4020058
(2013) Introductory biomechanics: from cells to organisms. Choice Rev Online. https://doi.org/10.5860/choice.45-1476
Choi YJ, Lee JH, Baek JH (2015) Ultrasound elastography for evaluation of cervical lymph nodes. Ultrasonography 34(3):157–164. https://doi.org/10.14366/usg.15007
pubmed: 25827473
pmcid: 4484291
doi: 10.14366/usg.15007
Domenichini R, Pialat JB, Podda A, Aubry S (2017) Ultrasound elastography in tendon pathology: state of the art. Skelet Radiol 46(12):1643–1655. https://doi.org/10.1007/s00256-017-2726-2 Review
doi: 10.1007/s00256-017-2726-2
Felicani C, De Molo C, Stefanescu H, Conti F, Mazzotta E, Gabusi V, Nardi E, Morselli-Labate AM, Andreone P, Serra C (2018) Point quantification elastography in the evaluation of liver elasticity in healthy volunteers: a reliability study based on operator expertise. J Ultrasound 21(2):89–98. https://doi.org/10.1007/s40477-018-0300-y
pubmed: 29790083
pmcid: 5972110
doi: 10.1007/s40477-018-0300-y
Piscaglia F, Salvatore V, Mulazzani L, Cantisani V, Schiavone C (2016) Ultrasound shear wave elastography for liver disease. A critical appraisal of the many actors on the stage. Ultraschall Med 37(1):1–5. https://doi.org/10.1055/s-0035-1567037
pubmed: 26871407
doi: 10.1055/s-0035-1567037
Correas JM, Drakonakis E, Isidori AM, Hélénon O, Pozza C, Cantisani V, Di Leo N, Maghella F, Rubini A, Drudi FM, D'ambrosio F (2014) Reprint of “Update on ultrasound elastography: miscellanea. Prostate, testicle, musculo-skeletal”. Eur J Radiol 83(3):442–449. https://doi.org/10.1016/j.ejrad.2014.01.018
pubmed: 24495906
doi: 10.1016/j.ejrad.2014.01.018
Caliskan E, Ozturk M, Bayramoglu Z, Comert RG, Adaletli I (2018) Evaluation of parotid glands in healthy children and adolescents using shear wave elastography and superb microvascular imaging. Radiol Med 123(9):710–718. https://doi.org/10.1007/s11547-018-0897-0
pubmed: 29713928
doi: 10.1007/s11547-018-0897-0
Vola EA, Albano M, Di Luise C, Servodidio V, Sansone M, Russo S, Corrado B, Servodio Iammarrone C, Caprio MG, Vallone G (2018) Use of ultrasound shear wave to measure muscle stiffness in children with cerebral palsy. J Ultrasound 21(3):241–247. https://doi.org/10.1007/s40477-018-0313-6
pubmed: 30030747
pmcid: 6113178
doi: 10.1007/s40477-018-0313-6
Lee SS, Gaebler-Spira D, Zhang LQ, Rymer WZ, Steele KM (2016) Use of shear wave ultrasound elastography to quantify muscle properties in cerebral palsy. Clin Biomech (Bristol, Avon) 31:20–28. https://doi.org/10.1016/j.clinbiomech.2015.10.006
doi: 10.1016/j.clinbiomech.2015.10.006
Pichiecchio A, Alessandrino F, Bortolotto C, Cerica A, Rosti C, Raciti MV, Rossi M, Berardinelli A, Baranello G, Bastianello S, Calliada F (2018) Muscle ultrasound elastography and MRI in preschool children with Duchenne muscular dystrophy. Neuromuscul Disord 28(6):476–483. https://doi.org/10.1016/j.nmd.2018.02.007
pubmed: 29661643
doi: 10.1016/j.nmd.2018.02.007
Bortolotto C, Lungarotti L, Fiorina I, Zacchino M, Draghi F, Calliada F (2017) Influence of subjects’ characteristics and technical variables on muscle stiffness measured by shear wave elastosonography. J Ultrasound 20(2):139–146. https://doi.org/10.1007/s40477-017-0242-9 eCollection 2017 Jun
pubmed: 28593004
pmcid: 5440334
doi: 10.1007/s40477-017-0242-9
Bortolotto C, Turpini E, Felisaz P, Fresilli D, Fiorina I, Raciti MV, Belloni E, Bottinelli O, Cantisani V, Calliada F (2017) Median nerve evaluation by shear wave elastosonography: impact of “bone-proximity” hardening artifacts and inter-observer agreement. J Ultrasound 20(4):293–299. https://doi.org/10.1007/s40477-017-0267-0 eCollection 2017 Dec
pubmed: 29204233
pmcid: 5698191
doi: 10.1007/s40477-017-0267-0
Lucidarme D, Foucher J, Le Bail B, Vergniol J, Castera L, Duburque C, Forzy G, Filoche B, Couzigou P, de Lédinghen V (2009) Factors of accuracy of transient elastography (fibroscan) for the diagnosis of liver fibrosis in chronic hepatitis C. Hepatology. 49(4):1083–1089. https://doi.org/10.1002/hep.22748
pubmed: 19140221
doi: 10.1002/hep.22748
Choi SY, Jeong WK, Kim Y, Kim J, Kim TY, Sohn JH (2014) Shear-wave elastography: a noninvasive tool for monitoring changing hepatic venous pressure gradients in patients with cirrhosis. Radiology. 273(3):917–926. https://doi.org/10.1148/radiol.14140008
pubmed: 25025464
doi: 10.1148/radiol.14140008
Koo TK, Li MY (2016) A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 15:155–163. https://doi.org/10.1016/j.jcm.2016.02.012
pubmed: 27330520
pmcid: 4913118
doi: 10.1016/j.jcm.2016.02.012
Team RDC, R Development Core Team R (2016) R: a language and environment for statistical computing. R Found Stat Comput. https://doi.org/10.1007/978-3-540-74686-7